Database / MongoDB Interview questions
Cassandra vs MongoDB - What are the Differences?
| MongoDB | Cassandra | |
| Data Availability | MongoDB has a single master directing multiple slave nodes. If the master node goes down, one of the slave nodes takes over its role. Although the strategy of automatic failover does ensure recovery, it may take up to a minute for the slave to become the master. During this time, the database isn't able to respond to requests. | Instead of having one master node, Cassandra utilizes multiple masters inside a cluster. With multiple masters present, there is no fear of any downtime. The redundant model ensures high availability at all times. |
| Scalability | Only the master node can write and accept input. In the meantime, the slave nodes are only used for reads. Accordingly, as MongoDB has a single master node, it is limited in terms of writing scalability. | Having multiple master nodes increases Cassandras writing capabilities. It allows this database to coordinate numerous writes at the same time, all coming from its masters. Therefore, the more master nodes there are in a cluster, the better the write speed (scalability). |
| Data Model | MongoDB's data model is categorized as object and document-oriented. This means it can represent any kind of object structures which can have properties or even be nested for multiple levels. | When it comes to Cassandra, there is a more traditional model. Cassandra has a table structure using rows and columns. Still, it is more flexible than relational databases since each row is not required to have the same columns. Upon creation, these columns are assigned one of the available Cassandra data types, ultimately relying more on data structure. |
| Query Language | MongoDB uses queries structured into JSON fragments and does not have any query language support yet. | Unlike MongoDB, Cassandra has its own query language called CQL (Cassandra Query Language). Its syntax is similar to SQL but still has some limitations. |
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